Minor

Author: vikasrawal

statistical-inference.org

@@ -278,69 +278,3 @@
 #+end_src
 
 
-** Introduction to the t distribution                               :ignore:
-
-#+RESULTS: sampling4
-[[file:bsample4.png]]
-
-#+NAME: sampling4
-#+BEGIN_SRC R :results output graphics :exports results :file bsample4.png :width 2500 :height 2000  :res 300
-  library(data.table)
-  library(ggplot2)
-  options(scipen=9999)
-  readRDS("plfsdata/plfsacjdata.rds")->worker
-  worker$standardwage->worker$wage
-  c(1:nrow(worker))->worker$SamplingFrameOrder
-  worker[sex!=3,]->worker
-
-  worker->t9
-  (t9$wage-mean(t9$wage))/sqrt(var(t9$wage))->t9$wage
-  ggplot(t9,aes(wage))+geom_density(colour="black",size=1)->p
-  p+scale_y_continuous(limits=c(0,0.75))->p
-  p+scale_x_continuous(limits=c(-15,15)
-                      ,breaks=c(-15,0,round(mean(worker$wage)),15))->p
-  p+theme_bw()->p
-  p
-
-  data.frame(sno=c(),meancol=c(),sterr=c())->t4
-  samplesize=50
-  for (i in c(1:20000)) {
-    sample(1:nrow(worker),samplesize, replace=FALSE)->a1
-    worker[a1,]->s1
-    rbind(t4,data.frame(
-               sno=i,
-               meancol=mean(s1$wage),
-               sterr=sqrt(var(s1$wage))/sqrt(samplesize)))->t4
-  }
-
-  (t4$meancol-mean(t4$meancol))/t4$sterr->t4$teststat
-  (t4$meancol-mean(t4$meancol))/sqrt(var(t4$meancol))->t4$teststat2
-  data.frame(modelt=rt(20000,29))->m
-
-  var(t4$teststat)
-  var(m$modelt)
-  var(t4$teststat2)
-
-  ggplot()->p
-  p+geom_density(data=t4,aes(teststat),colour="blue",size=1)-> p
-  p+geom_density(data=m,aes(modelt),colour="darkolivegreen",size=1)->p
-  p+geom_density(data=t4,aes(teststat2),colour="red",size=1)-> p
-  p+annotate("text",x=3,y=0.4,
-             label=paste("Var of statistic with unknown variance:",
-                         round(var(t4$teststat),2)),
-             colour="blue")->p
-  p+annotate("text",x=3,y=0.39,
-             label=paste("Var of statistic with known variance:",
-                         round(var(t4$teststat2),2)),
-             colour="red")->p
-  p+annotate("text",x=3,y=0.38,
-             label=paste("Var of t-distribution:",round(var(m$modelt),2)),
-             colour="darkolivegreen")->p
-  p
-
-
-#+end_src
-
-
-
-